Article

Individualized Coexpression Network Strategies Employing Transcriptomic Data to Address Challenges in Stratification

2023-09-26

Abstract excerpt

The traditional network approach in gene expression analysis focuses on identifying relationships among gene expression patterns and associating them with metadata. In contrast, individualized coexpression networks offer a unique perspective by detecting underlying differences in gene expression datasets without known classifications, enabling sample stratification and providing insights into distinct phenotypes....

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: e248799e-8f06-5066-b22e-45748a8a316c
DOI: 10.21203/rs.3.rs-3293792/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Individualized Coexpression Network Strategies Employing Transcriptomic Data to Address Challenges in StratificationDOI 10.21203/rs.3.rs-3293792/v1Read

Novel cancer subtyping method based on patient-specific gene regulatory networkSemantic proximity Read

Robust normalization and transformation techniques for constructing gene coexpression networks from RNA-seq dataSemantic proximity Read

Evaluation of single-sample network inference methods for precision oncologySemantic proximity Read

Statistical Inference of Phenotype-Specific Molecular Mechanisms from Cell Line-Specific Gene Regulatory Networks with Application to Quizartinib Sensitivity.Semantic proximity Read

Constructing cancer patient-specific and group-specific gene networks with multi-omics dataSemantic proximity Read

Untangling the effects of cellular composition on coexpression analysis.Semantic proximity Read

Enhancement of Network Architecture Alignment in Comparative Single-Cell StudiesSemantic proximity Read

PAN: Personalized Annotation-based Networks for the Prediction of Breast Cancer RelapseSemantic proximity Read

Identifying Network Biomarkers of Cancer By Sample-Specific Differential NetworkSemantic proximity Read

GEOlimma: Differential Expression Analysis and Feature Selection Using Pre-Existing Microarray DataSemantic proximity Read

Patient-Specific Analysis of Co-expression Networks for Predicting Clinical Outcomes in Breast CancerSemantic proximity Read

PrismEXP: gene annotation prediction from stratified gene-gene co-expression matrices.Semantic proximity Read